AI is moving into UK legal practice faster than most firms know how to assess it. We help you map where it fits across the firm, and build bespoke systems where the work calls for it. Across independent firms, mid-market partnerships, in-house legal teams and legaltech SMEs.
OpenKit helps UK law firms, in-house legal teams, and legaltech SMEs work out where AI fits across their practice and builds bespoke systems where the work calls for it. We work against the firm's own precedents, document management system, and matter taxonomy. Delivery aligns with SRA principles and the Law Society verify-disclose-record framework. OpenKit holds ISO 27001, ISO 9001, and Cyber Essentials certifications.
OpenKit is a UK AI consulting firm that helps law firms, in-house legal teams, and legaltech SMEs work out where AI fits across their practice and builds bespoke systems where the work calls for it. OpenKit delivers contract review, e-discovery triage, conveyancing automation, and private knowledge systems shaped to each firm's own precedents and document management system, aligned with SRA principles and the Law Society verify-disclose-record framework. OpenKit has ISO 27001, ISO 9001, and Cyber Essentials certifications and works with clients across the United Kingdom from a base in Cambridge.
Four patterns we see in every legal audit. Each one is also why most firms' AI work either stalls before the indemnity renewal or quietly happens off-policy across fee-earners, paralegals and support teams.
Productised legal AI sits at £800–£950 per seat per month at the enterprise tier. The mid-market option is a per-seat add-on at £80–£160, or free-tier ChatGPT, with nothing built around your own precedent base or your DMS in the middle.
62% of UK legal professionals are active regular AI users; 31% use AI daily. The question is no longer whether the people in the firm are using AI but whether anyone has visibility into how.
The SRA regulates outcomes, not technologies, which means the firm and the COLP own every AI output the same way they own work done by a junior. The verify-disclose-record rule still has to be discharged by humans the firm is responsible for, regardless of who in the team produced the work.
Privileged communications, precedent libraries and matter histories are the part of the firm a client is paying for. Feeding them into a generic vendor model trades that asset for a productivity bump that the firm cannot defend at the next indemnity renewal.
These are the areas that come up most often in legal audits. We don't ship them off the shelf. Every implementation is shaped to your team, your DMS, and what is safe to defend at the next indemnity renewal.
Most firms have spent two decades building a precedent library that is the actual competitive advantage of the practice. A model trained on the open web does not know any of it. We build clause extraction and redlining calibrated against your historical marked-up versions, with citation back to the source paragraph on every extracted field.
Large-scale document review is where AI moves the needle hardest and where indemnity exposure is biggest if a reviewer relies on a hallucinated summary. We build classifier and triage layers that route by privilege risk, by responsiveness, and by confidence band, holding low-confidence items for human review.
Conveyancing has been the fastest-moving practice area in UK legal AI, with 78% of firms now using AI to support fee-earners. We build end-to-end pipelines for title review, lease extraction, search-result analysis, and report drafting that work against actual document quality, including skewed scans, handwritten amendments, and multi-language counterparties.
Most firms cannot find their own best work. Know-how lives in network folders, old matter files, and in the heads of partners who retired last year. We build assistants that answer questions from the firm's matter archive, practice-area manuals, and house-style drafting library, citing where every answer came from.
A clause review with the audit trail built in. Reads a commercial lease, surfaces the risk clauses, cites the source paragraph, and queues for fee-earner approval before anything leaves the firm. We shape work like this around your existing workflow rather than ship it off the shelf.
Work shaped like this for legal follows the verify-disclose-record floor the Law Society guidance sets. The model never sends a memo to a client. It never updates a matter file. It never goes outside the firm's DMS. The audit log retains the prompt, the cited paragraphs, the fee-earner's edits, and the final.
Most engagements start with the audit. What follows depends on what it surfaces. Many firms move into a transformation block on their existing DMS and practice-management stack, some take on a senior AI lead to keep the work moving, and a few commission a bespoke build where nothing off-the-shelf will fit.
A fixed-fee, fixed-scope audit of where AI fits across the firm's drafting, document and practice-management work. Ends with a written report you can take to a board, a managing partner, or your COLP, and a prioritised rollout plan.
A block of configuration, build and training on your existing DMS and practice-management stack. The team that runs the audit is the team that ships the work, so nothing gets lost between findings and delivery.
A senior OpenKit engineer becomes part of the firm. Not an advisor attending steering groups, an engineer in the codebase, taking on the audit log review and the next quarter's roadmap. Rolling arrangement, cancel anytime.
For work that goes beyond configuration. A private knowledge engine over the precedent archive, a clause-extraction pipeline calibrated against the firm's own marked-up versions, a conveyancing pipeline. Scoped after the audit, since the scope depends on what the audit surfaces.
We build on your existing DMS and practice-management estate. No rip-and-replace. Below is a sample of what we routinely integrate with. We work across many other systems too, so bring us your stack.
A sample of recent work. Outcomes described without internal artefacts.
What we hold and what we operate to. We surface gaps and propose mitigations. We are not a regulatory certifying body.
Information security management. Independent third-party audited.
Quality management. Independent third-party audited.
UK NCSC baseline cyber-hygiene certification.
Data processing register maintained per ICO guidance.
We hold ISO 27001, ISO 9001, and Cyber Essentials certifications independently, and operate to UK GDPR. We are not a regulator and we are not an indemnity insurer. Delivery is designed to help the firm meet its own obligations under the UK regulatory regimes that apply to its work. We work alongside the firm's COLP on regulatory supervision and the indemnity insurer at renewal.
Start with the audit. Fixed fee, fixed scope, a written report you can take to a board, a managing partner, or hand to your COLP, and a prioritised plan for what to build first.
Rethinking What's Possible with AI.
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Having completed our second major AI agent development project with OpenKit, I can confidently say they're the real deal. Our system analyses large, complex and poor quality documents with remarkable accuracy, surpassing solutions like GPT4 and other AI legal tools.
OpenKit's professionalism and creativity shone through our collaboration, ultimately leading to the creation of an AI assistant that has transformed the way our residents engage with and comprehend air pollution information in London.
Working with OpenKit to develop our custom AI agent services has been transformative for our business. Their solution delivers exceptional performance compared to frontier models while remaining remarkably easy to verify and trust.
Their deep understanding of our business needs, coupled with their expertise in GPT and Cloud software-services, enabled them to navigate complexities and deliver a bespoke AI solution tailored to our operations.
OpenKit developed an impressive AI assistant, providing an engaging and informative way for our residents to understand air pollution. Their expertise turned complex data into accessible insights.
OpenKit provided advice and proposed solutions rooted in the most recent AI and prompt-engineering research, genuinely invested in our success. Their expertise in cutting-edge AI technologies was invaluable.